Tae-Chon Ahn

35 papers B 1C 2Misc 3Journal 13Unranked 15
YearRankTypeTitle / Venue / Authors
2020 J jnl
Lazy Learning for Nonparametric Locally Weighted Regression.
Int. J. Fuzzy Log. Intell. Syst.
Seok-Beom Roh, Yong-Soo Kim, Tae-Chon Ahn
2019 J jnl
Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers.
Int. J. Fuzzy Syst.
Tae-Chon Ahn, Seok-Beom Roh, Yong-Soo Kim, Jihong Wang
2014 J jnl
A design of granular fuzzy classifier.
Expert Syst. Appl.
Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn
2014 — ch.
Design of Radial Basis Function Classifier Based on Polynomial Neural Networks.
Soft Computing in Artificial Intelligence
Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin, Yong-Soo Kim
2012 J jnl
Fuzzy linear regression based on Polynomial Neural Networks.
Expert Syst. Appl.
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
2011 J jnl
Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes.
Int. J. Fuzzy Log. Intell. Syst.
Seok-Beom Roh, Ji-Won Jeong, Tae-Chon Ahn
2010 J jnl
The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach.
IEEE Trans. Instrum. Meas.
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
2010 J jnl
The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach.
Fuzzy Sets Syst.
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
2007 — conf
Design of Adaptive Fuzzy-PI Control with the Aid of Rough Set Theory and Its Application to a HVDC System.
ICIC (1)
Zhong-Xian Wang, Tae-Chon Ahn
2007 — conf
Fuzzy Combined Polynomial Neural Networks.
KES (3)
Seok-Beom Roh, Tae-Chon Ahn
2007 — conf
GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process.
ISNN (2)
Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn
2007 J jnl
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.
Neurocomputing
Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn
2006 — conf
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.
ISNN (1)
Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn
2006 — conf
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.
ISNN (1)
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
2006 — conf
An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation.
ICONIP (3)
Seok-Beom Roh, Hyung-Soo Hwang, Tae-Chon Ahn
2006 J jnl
Data Pattern Estimation with Movement of the Center of Gravity.
Int. J. Fuzzy Log. Intell. Syst.
Tae-Chon Ahn, Kyung-Won Jang, Dong-Du Shin, Hak-Soo Kang, Yang-Woong Yoon
2006 — conf
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process.
ICONIP (3)
Ho-Sung Park, Kyung-Won Jang, Sung-Kwun Oh, Tae-Chon Ahn
2006 C conf
Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process.
IDEAL
Tae-Chon Ahn, Ho-Sung Park
2006 — conf
Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms.
KES (3)
Tae-Chon Ahn, Kyung-Won Jang, Seok-Beom Roh
2006 — conf
Improvement of HSOFPNN Using Evolutionary Algorithm.
Australian Conference on Artificial Intelligence
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
2006 J jnl
Intuitionistic Fuzzy Subgroups and Level Subgroups.
Int. J. Fuzzy Log. Intell. Syst.
Tae-Chon Ahn, Kul Hur, Kyung-Won Jang
2006 J jnl
Optimal Fuzzy Models with the Aid of SAHN-based Algorithm.
Int. J. Fuzzy Log. Intell. Syst.
Jong-Seok Lee, Kyung-Won Jang, Tae-Chon Ahn
2006 C conf
Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm.
IEA/AIE
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
2006 — conf
The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization.
FSKD
Ho-Sung Park, Tae-Chon Ahn
2006 — conf
The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System.
KES (1)
Zhong-Xian Wang, Jueng-je Yang, Tae-Chon Ahn
2005 — conf
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization.
Australian Conference on Artificial Intelligence
Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn
2005 Misc conf
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons.
International Conference on Computational Science (1)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn
2005 Misc conf
Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation.
IWANN
Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn
2005 — conf
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.
ISNN (3)
Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn
2004 Misc conf
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design.
International Conference on Computational Science
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
2004 J jnl
Parameter estimation of fuzzy controller and its application to inverted pendulum.
Eng. Appl. Artif. Intell.
Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn
2003 — conf
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
RSFDGrC
Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn
2002 — conf
Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach.
Rough Sets and Current Trends in Computing
James F. Peters, Tae-Chon Ahn, Maciej Borkowski
2002 J jnl
Self-organizing neural networks with fuzzy polynomial neurons.
Appl. Soft Comput.
Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
2002 B conf
Software Quality Knowledge Discovery: A Rough Set Approach.
COMPSAC
Sheela Ramanna, James F. Peters, Tae-Chon Ahn